Daniel Fink

6 papers and 180 indexed citations i.

About

Daniel Fink is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Fink has authored 6 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Automotive Engineering, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Fink’s work include Advanced Battery Technologies Research (2 papers), Vehicle emissions and performance (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Daniel Fink is often cited by papers focused on Advanced Battery Technologies Research (2 papers), Vehicle emissions and performance (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Daniel Fink collaborates with scholars based in United States and Germany. Daniel Fink's co-authors include Martin Wiedmann, David Sue, Kathryn J. Boor, Carl Lagoze, Carla Gomes, Theodoros Damoulas, Steve Kelling, Weng‐Keen Wong, Jeff Gerbracht and Jun Yu and has published in prestigious journals such as Microbiology, AI Magazine and IFAC-PapersOnLine.

In The Last Decade

Co-authorship network of co-authors of Daniel Fink i

Fields of papers citing papers by Daniel Fink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Fink. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Fink. The network helps show where Daniel Fink may publish in the future.

Countries citing papers authored by Daniel Fink

Since Specialization
Citations

This map shows the geographic impact of Daniel Fink's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Fink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fink more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025